• 제목/요약/키워드: Input information

검색결과 10,129건 처리시간 0.035초

A New $H_2$ Bound for $H_{\infty}$ Entropy

  • Zhang, Hui;Sun, Youxian
    • International Journal of Control, Automation, and Systems
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    • 제6권4호
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    • pp.620-625
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    • 2008
  • The $H_{\infty}$ entropy in $H_{\infty}$ control theory is discussed based on investigating information transmission in continuous-time linear stochastic systems. It is proved that the stabilizing feedback does not change the time-average information transmission between system input and output, and the $H_{\infty}$ entropies of open- and closed-loop stable transfer functions are bounded by mutual information rate between input and output in the open-loop system. Furthermore, a new $H_2$ upper bound for $H_{\infty}$ entropy is introduced with a numerical example. Thus the $H_{\infty}$ entropy of a stable transfer function is sandwiched between $H_2$ norms of the original system and a static feedback system.

Performance Analysis of Coordinated Random Beamforming Technique in Multi-cell Environments

  • Lee, Jong-Min;Jung, Bang-Chul
    • Journal of information and communication convergence engineering
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    • 제8권4호
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    • pp.393-398
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    • 2010
  • For multi-cell environments, coordinated random beamforming technique in multiuser MIMO(multiple-input multiple-output) broadcast channel is considered. In order to mitigate severe interference at receivers, the multi-cell environments might require complex transmitter and receiver design because the scheduler decision based on full channel state information (CSI) in one cell must be intertwined with decision made by other cells' CSI. With limited CSI, however, this paper considers a scheme of randomizing transmitters' beamforming but being coordinated with other cell transmitters. The transmitters in each cell share random beamforming patterns and schedule data transmission within coherent scheduling period. The corandomized beams allow the users to be selected with the highest SINRs even in multi-cell environments. We analyze the performance of the proposed scheme. And numerical results show that the scheme achieves better performance than the conventional random beamforming when applying to multi-cell environments.

다 개체 시스템의 상태 일치를 위한 이산 시간 출력 궤환 협조 제어 알고리즘 (Discrete-Time Output Feedback Algorithm for State Consensus of Multi-Agent Systems)

  • 김재용;이진영;김정수
    • 전기학회논문지
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    • 제60권3호
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    • pp.625-631
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    • 2011
  • This paper presents a discrete-time output feedback consensus algorithm for Multi-Agent Systems (MAS). Under the assumption that an agent is aware of the relative state information about its neighbors, a state feedback consensus algorithm is designed based on Linear Matrix Inequality (LMI) method. In general, however, it is possible to obtain its relative output information rather than the relative state information. To reconcile this problem, an Unknown Input Observer (UIO) is employed in this paper. To this end, first it is shown that the relative state information can be estimated using the UIO and the measured relative output information. Then a certainty-equivalence type output feedback consensus algorithm is proposed by combining the LMI-based state feedback consensus algorithm with the UIO. Finally, simulation results are given to illustrate that the proposed method successfully achieves the state consensus.

A Study on SPOT and DEM Data as Input to Geographic Information System Applying to an Inaccessible Region

  • Kim, Eui-Hong;Lee, Kyoo-Seock;Chung, Mong-Hyun
    • 대한원격탐사학회지
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    • 제3권2호
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    • pp.103-113
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    • 1987
  • The two key elements of the Geographic Information System(GIS) are (1) Data base management of land resources information as computer files, and (2) Software ability to analyze and map this information. More geometrically corrected SPOT derived land cover information and digital topographic infornation from digitial elevation model (DEM) were integrated as input data of GIS in order to create landscape modelling. The ultimate goal of this GIS is to establish the use of physiographic data as an intergral part of the comprehensive planning process in order to avoid significant environmental and economic problems.

Semantic Conceptual Relational Similarity Based Web Document Clustering for Efficient Information Retrieval Using Semantic Ontology

  • Selvalakshmi, B;Subramaniam, M;Sathiyasekar, K
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권9호
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    • pp.3102-3119
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    • 2021
  • In the modern rapid growing web era, the scope of web publication is about accessing the web resources. Due to the increased size of web, the search engines face many challenges, in indexing the web pages as well as producing result to the user query. Methodologies discussed in literatures towards clustering web documents suffer in producing higher clustering accuracy. Problem is mitigated using, the proposed scheme, Semantic Conceptual Relational Similarity (SCRS) based clustering algorithm which, considers the relationship of any document in two ways, to measure the similarity. One is with the number of semantic relations of any document class covered by the input document and the second is the number of conceptual relation the input document covers towards any document class. With a given data set Ds, the method estimates the SCRS measure for each document Di towards available class of documents. As a result, a class with maximum SCRS is identified and the document is indexed on the selected class. The SCRS measure is measured according to the semantic relevancy of input document towards each document of any class. Similarly, the input query has been measured for Query Relational Semantic Score (QRSS) towards each class of documents. Based on the value of QRSS measure, the document class is identified, retrieved and ranked based on the QRSS measure to produce final population. In both the way, the semantic measures are estimated based on the concepts available in semantic ontology. The proposed method had risen efficient result in indexing as well as search efficiency also has been improved.

산재된 인력정보의 중복입력 문제 해결을 위한 에이전트 설계 및 구현 방법에 관한 연구 (The Design and Implementation of an Agent for Resolving the Problem of Redundant Input of Distributed Human Resources Information)

  • 손강렬;한희준;임종태
    • 정보관리연구
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    • 제38권1호
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    • pp.75-98
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    • 2007
  • 인터넷이 발달함에 따라 기하급수적으로 늘어나는 각 서비스 도메인들은 그들만의 특성에 맞는 서비스를 제공하여 그에 따른 부가가치를 창출하고 있다. 또한 각 도메인 내에는 업무의 특성별로 서비스가 구분되며 서비스를 제공받기 위해서는 현실적으로 대부분 개인의 인력정보를 제공해야 하며, 그렇지 않으면 서비스를 일부 제한받거나 전혀 받을 수 없다. 본 논문에서는 서비스 제공기관에서 요구하는 인력정보를 분석하여 공통 항목에 대하여 중복입력을 방지하고 공동 활용할 수 있는 에이전트 설계 및 구현방법에 대해 제시하고자 하였다.

위상고정회로를 사용한 AM신호 검파방식의 해석 (An Analysis of a Phase Locked AM signal Detection)

  • 문상재
    • 대한전자공학회논문지
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    • 제13권5호
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    • pp.24-29
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    • 1976
  • Phase locked AM신호 검파방식에서는 위상고정회로를 사용하여 입력신호로부터 반송신호를 분리 재생시킨다. 입력잡음은 백색 Gaussian잡음이고, 전려제어발진기의 자유발진주파수와 입력반송신호주파수가 같다는 가정하에 위상고정회로의 동작특성을 해석하고, 본 검파방식의 신호대 잡음비를 정량적으로 고찰하였다. Phase locked AM신호 검파방식은 종래의 검파방식에 비해서 잡음의 영향을 적게 받게됨을 본 해석에서 알 수 있다. In the phase locked AM signal detection, phase locked loop is used to extract a synchronous carrier from an input AM signal. Under the assumption that input noise is white Gaussian and free-running frequency of voltage controlled oscillator is the same that of an input carrier, operational behaviours of phase locked loop is analyzed and signal to noise ratio of the detection is derived quentitatively. The results show that the phase locked AM signal detection method offers a higher degree of noise mmunity than conventional AM signal detections.

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타이어 음,양각 문자의 입력영상 개선을 위한 전처리와 광학조건에 관한 연구 (A Study on Optical Condition and preprocessing for Input Image Improvement of Dented and Raised Characters of Tires)

  • 류한성;최중경;구본민;박무열;윤경섭
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 하계종합학술대회 논문집(4)
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    • pp.93-96
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    • 2001
  • In this paper, we present a vision algorithm and method for input image improvement and preprocessing of dented and raised characters on the sidewall of tires. we define optical condition between reflect coefficient and reflectance by the physical vector calculate. On the contrary this work will recognize the engraved characters using the computer vision technique. Tire input images have all most same grey levels between the characters and backgrounds. The reflectance is little from a tire surface. therefore, it's very difficult segment the characters from the background. Moreover, one side of the character string is raised and the other is dented. So, the captured images are varied with the angle of camera and illumination. For optimum input images, the angle between camera and illumination was found out to be with in 90。 .In addition, We used complex filtering with low-pass and high-pass band filters to improve input images, for clear input images. Finally we define equation reflect coefficient and reflectance. By doing this, we obtained good images of tires for pattern recognition.

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다중 인공 신경망의 Federated Architecture와 그 응용-선박 중앙단면 형상 설계를 중심으로 (Federated Architecture of Multiple Neural Networks : A Case Study on the Configuration Design of Midship Structure)

  • 이경호;연윤석
    • 한국CDE학회논문집
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    • 제2권2호
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    • pp.77-84
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    • 1997
  • This paper is concerning the development of multiple neural networks system of problem domains where the complete input space can be decomposed into several different regions, and these are known prior to training neural networks. We will adopt oblique decision tree to represent the divided input space and sel ect an appropriate subnetworks, each of which is trained over a different region of input space. The overall architecture of multiple neural networks system, called the federated architecture, consists of a facilitator, normal subnetworks, and tile networks. The role of a facilitator is to choose the subnetwork that is suitable for the given input data using information obtained from decision tree. However, if input data is close enough to the boundaries of regions, there is a large possibility of selecting the invalid subnetwork due to the incorrect prediction of decision tree. When such a situation is encountered, the facilitator selects a tile network that is trained closely to the boundaries of partitioned input space, instead of a normal subnetwork. In this way, it is possible to reduce the large error of neural networks at zones close to borders of regions. The validation of our approach is examined and verified by applying the federated neural networks system to the configuration design of a midship structure.

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우리나라 연안해역을 통항하는 선박에 대한 AIS 데이터 입력 오류의 분석 및 개선 방안 연구 (Studies on the Improvement and Analysis of Data Entry Error to the AIS System for the Traffic Ships in the Korean Coastal Area)

  • 전재호;정태권
    • 수산해양교육연구
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    • 제28권6호
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    • pp.1812-1821
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    • 2016
  • The purpose of this study is to survey input data error of ship automatic identification system (AIS) and suggest its improvement. The effects of AIS were observed. Input data error of AIS was investigated by dividing it into dynamic data, static data by targeting actual ships and its improvement method was suggested. The findings are as follows. Looking into accidents before and after AIS is enforced to install on the ship, total collision were decreased after AIS installed. Static data error of AIS took place mainly in the case that ship name, call sign, MMSI, IMO number, ship type, location of antenna (ship length and width) were wrongly input or those data were not input initially. Dynamic data error of AIS was represented by input error of ship's heading. As errors of voyage related data take place as well, confusion is made in sailing or ship condition. Counter measures against the above are as follows. First, reliability of AIS data information should be improved. Second, incessant concern and management should be made on the navigation officers.